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% Thu Jun  5 16:54:52 2025
\begin{table}[ht]
\centering
\caption{\label{tab:tab_a12_child_ca_pca_full}Interaction Effects Regressions with Village-Level PCA Scores of Current CDC Functionality with Main Child Outcomes} 
\begin{tabular}{rllll}
  \hline
 & one\_Coef. & one\_SE & two\_Coef. & two\_SE \\ 
  & \multicolumn{2}{c}{Attendance}& \multicolumn{2}{c}{Child Test Score}\\&\multicolumn{2}{c}{3894}&\multicolumn{2}{c}{3003}\\Intercept &  0.81 & (0.02) &  0.75 & (0.04) \\ 
  Treatment & -0.04 & (0.04) & -0.02 & (0.1) \\ 
  CA PCA score & -0.01 & (0.01) &  0.03 & (0.02) \\ 
  Treatment X CA PCA score &  0.01 & (0.01) & -0.02 & (0.03) \\ 
  HAND\_kapisa & -0.02 & (0.07) &  0.04 & (0.15) \\ 
  HAND\_parwan &  0.12 & (0.06) &  0.14 & (0.14) \\ 
  ros\_hhheadchild &  0.00 & (0.01) &  0.05 & (0.02) \\ 
  ros\_girl & -0.05 & (0.01) & -0.08 & (0.02) \\ 
  ros\_age &  0.01 & (0.01) &  0.32 & (0.02) \\ 
  int\_lang\_pashto & -0.02 & (0.01) &  0.00 & (0.05) \\ 
  hh\_eth\_hazara &  0.02 & (0.02) &  0.13 & (0.04) \\ 
  hh\_eth\_pashtun & -0.04 & (0.02) & -0.06 & (0.05) \\ 
  hh\_eth\_tajik & -0.02 & (0.03) &  0.10 & (0.06) \\ 
  hhhead\_job\_farmer &  0.00 & (0.01) & -0.03 & (0.03) \\ 
  hhhead\_age & -0.01 & (0.01) &  0.03 & (0.02) \\ 
  hhhead\_schoolyears &  0.00 & (0.02) & -0.02 & (0.03) \\ 
  hh\_num &  0.01 & (0.02) &  0.07 & (0.03) \\ 
  hh\_jeribs &  0.00 & (0.01) &  0.00 & (0.02) \\ 
  hh\_animal\_sheep & -0.01 & (0.01) & -0.06 & (0.03) \\ 
  school\_km & -0.03 & (0.02) & -0.02 & (0.06) \\ 
  hhhead\_job\_laborer & -0.02 & (0.01) & -0.05 & (0.03) \\ 
  hhhead\_job\_military &  0.00 & (0.01) & -0.03 & (0.02) \\ 
  hhhead\_write &  0.01 & (0.01) &  0.03 & (0.03) \\ 
  hhhead\_read &  0.02 & (0.01) &  0.03 & (0.04) \\ 
  hhhead\_edu\_mosque &  0.02 & (0.01) &  0.07 & (0.02) \\ 
  hhhead\_edu\_madrassa &  0.00 & (0.01) & -0.03 & (0.02) \\ 
  hhhead\_edu\_community & -0.01 & (0.01) &  0.01 & (0.01) \\ 
  hhhead\_edu\_government &  0.00 & (0.01) &  0.09 & (0.04) \\ 
  hhhead\_edu\_university &  0.00 & (0.01) &  0.00 & (0.02) \\ 
  hhhead\_female & -0.02 & (0.01) &  0.04 & (0.02) \\ 
  hh\_totalincome\_2000less &  0.01 & (0.02) &  0.10 & (0.06) \\ 
  hh\_totalincome\_2001to5000 &  0.00 & (0.02) &  0.10 & (0.06) \\ 
  hh\_totalincome\_5001to10000 &  0.03 & (0.02) &  0.12 & (0.06) \\ 
  hh\_totalincome\_10001to15000 &  0.00 & (0.02) &  0.08 & (0.04) \\ 
  hh\_totalincome\_15001plus &  0.00 & (0.01) &  0.07 & (0.04) \\ 
  hh\_own\_tvs &  0.02 & (0.01) &  0.03 & (0.03) \\ 
  hh\_own\_mobiles &  0.00 & (0.01) & -0.01 & (0.02) \\ 
  hh\_own\_cars & -0.01 & (0.02) &  0.00 & (0.02) \\ 
  hh\_own\_radios &  0.00 & (0.01) & -0.01 & (0.02) \\ 
  factorwealth &  0.00 & (0.02) &  0.06 & (0.04) \\ 
  hh\_landown &  0.01 & (0.01) &  0.02 & (0.02) \\ 
  hh\_children & -0.02 & (0.01) & -0.05 & (0.03) \\ 
  PROVINCE1 &  0.00 & (0.03) & -0.05 & (0.08) \\ 
  PROVINCE2 &  0.00 & (0.04) & -0.09 & (0.1) \\ 
  PROVINCE3 &  0.01 & (0.01) & -0.01 & (0.04) \\ 
  PROVINCE4 &  0.02 & (0.02) &  0.02 & (0.04) \\ 
  PROVINCE5 &  0.02 & (0.02) & -0.02 & (0.04) \\ 
  \end{tabular}
\end{table}
